{
  "workflow": {
    "id": 6394,
    "name": "Scrape Amazon keyboard products with ScrapeGraphAI to Google Sheets",
    "views": 636,
    "recentViews": 0,
    "totalViews": 636,
    "createdAt": "2025-07-24T18:33:11.111Z",
    "description": "# Amazon Keyboard Product Scraper with AI and Google Sheets Integration\n\n## 🎯 Target Audience\n- E-commerce analysts and researchers\n- Product managers tracking competitor keyboards\n- Data analysts monitoring Amazon keyboard market trends\n- Business owners conducting market research\n- Developers building product comparison tools\n\n## 🚀 Problem Statement\nManual monitoring of Amazon keyboard products is time-consuming and error-prone. This template solves the challenge of automatically collecting, structuring, and storing keyboard product data for analysis, enabling data-driven decision making in the competitive keyboard market.\n\n## 🔧 How it Works\n\nThis workflow automatically scrapes Amazon keyboard products using AI-powered web scraping and stores them in Google Sheets for comprehensive analysis and tracking.\n\n### Key Components\n\n1. **Scheduled Trigger** - Runs the workflow at specified intervals to keep data fresh and up-to-date\n2. **AI-Powered Scraping** - Uses ScrapeGraphAI to intelligently extract product information from Amazon search results with natural language processing\n3. **Data Processing** - Transforms and structures the scraped data for optimal spreadsheet compatibility\n4. **Google Sheets Integration** - Automatically saves product data to your spreadsheet with proper column mapping\n\n## 📊 Google Sheets Column Specifications\n\nThe template creates the following columns in your Google Sheets:\n\n| Column | Data Type | Description | Example |\n|--------|-----------|-------------|---------|\n| **title** | String | Product name and model | \"Logitech MX Keys Advanced Wireless Illuminated Keyboard\" |\n| **url** | URL | Direct link to Amazon product page | \"https://www.amazon.com/dp/B07S92QBCX\" |\n| **category** | String | Product category classification | \"Electronics\" |\n\n## 🛠️ Setup Instructions\n\n**Estimated setup time: 10-15 minutes**\n\n### Prerequisites\n- n8n instance with community nodes enabled\n- ScrapeGraphAI API account and credentials\n- Google Sheets account with API access\n\n### Step-by-Step Configuration\n\n#### 1. Install Community Nodes\n```bash\n# Install ScrapeGraphAI community node\nnpm install n8n-nodes-scrapegraphai\n```\n\n#### 2. Configure ScrapeGraphAI Credentials\n- Navigate to Credentials in your n8n instance\n- Add new ScrapeGraphAI API credentials\n- Enter your API key from ScrapeGraphAI dashboard\n- Test the connection to ensure it's working\n\n#### 3. Set up Google Sheets Connection\n- Add Google Sheets OAuth2 credentials\n- Grant necessary permissions for spreadsheet access\n- Select or create a target spreadsheet for data storage\n- Configure the sheet name (default: \"Sheet1\")\n\n#### 4. Customize Amazon Search Parameters\n- Update the `websiteUrl` parameter in the ScrapeGraphAI node\n- Modify search terms, filters, or categories as needed\n- Adjust the user prompt to extract additional fields if required\n\n#### 5. Configure Schedule Trigger\n- Set your preferred execution frequency (daily, weekly, etc.)\n- Choose appropriate time zones for your business hours\n- Consider Amazon's rate limits when setting frequency\n\n#### 6. Test and Validate\n- Run the workflow manually to verify all connections\n- Check Google Sheets for proper data formatting\n- Validate that all required fields are being captured\n\n## 🔄 Workflow Customization Options\n\n### Modify Search Criteria\n- Change the Amazon URL to target specific keyboard categories\n- Add price filters, brand filters, or rating requirements\n- Update search terms for different product types\n\n### Extend Data Collection\n- Modify the user prompt to extract additional fields (price, rating, reviews)\n- Add data processing nodes for advanced analytics\n- Integrate with other data sources for comprehensive market analysis\n\n### Output Customization\n- Change Google Sheets operation from \"append\" to \"upsert\" for deduplication\n- Add data validation and cleaning steps\n- Implement error handling and retry logic\n\n## 📈 Use Cases\n\n- **Competitive Analysis**: Track competitor keyboard pricing and features\n- **Market Research**: Monitor trending keyboard products and categories\n- **Inventory Management**: Keep track of available keyboard options\n- **Price Monitoring**: Track price changes over time\n- **Product Development**: Research market gaps and opportunities\n\n## 🚨 Important Notes\n\n- Respect Amazon's terms of service and rate limits\n- Consider implementing delays between requests for large datasets\n- Regularly review and update your scraping parameters\n- Monitor API usage to manage costs effectively\n- Keep your credentials secure and rotate them regularly\n\n## 🔧 Troubleshooting\n\n**Common Issues:**\n- ScrapeGraphAI connection errors: Verify API key and account status\n- Google Sheets permission errors: Check OAuth2 scope and permissions\n- Data formatting issues: Review the Code node's JavaScript logic\n- Rate limiting: Adjust schedule frequency and implement delays\n\n**Support Resources:**\n- ScrapeGraphAI documentation and API reference\n- n8n community forums for workflow assistance\n- Google Sheets API documentation for advanced configurations\n",
    "workflow": {
      "id": "JpP0OwP6cBEOvIgP",
      "meta": {
        "instanceId": "521567c5f495f323b77849c4cfd0c9f4f2396c986e324e0e66c8425b6f124744",
        "templateCredsSetupCompleted": true
      },
      "name": "Amazon Keyboard Product Scraper with AI and Google Sheets",
      "tags": [],
      "nodes": [
        {
          "id": "69b249d2-cc60-42c5-9e26-a9a739fb82a9",
          "name": "Automated Schedule Trigger",
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          "parameters": {
            "rule": {
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        {
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          "name": "AI-Powered Amazon Product Scraper",
          "type": "n8n-nodes-scrapegraphai.scrapegraphAi",
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          "parameters": {
            "userPrompt": "Extract all the products from this site. Use the following schema for response { \"title\": \"Logitech MX Keys Advanced Wireless Illuminated Keyboard\", \"url\": \"https://www.amazon.com/dp/B07S92QBCX\", \"category\": \"Electronics\" }",
            "websiteUrl": "https://www.amazon.com/s?k=keyboard&crid=2FI5OSSH1T0Q8&sprefix=keyboar%2Caps%2C191&ref=nb_sb_ss_p13n-pd-dpltr-ranker_ci_hl-bn-left_1_7"
          },
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          "name": "Google Sheets Data Storage",
          "type": "n8n-nodes-base.googleSheets",
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          "parameters": {
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                  "canBeUsedToMatch": true
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                {
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                  "display": true,
                  "removed": false,
                  "required": false,
                  "displayName": "category",
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                  "canBeUsedToMatch": true
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              "mappingMode": "autoMapInputData",
              "matchingColumns": []
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            "sheetName": {
              "__rl": true,
              "mode": "name",
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              "mode": "url",
              "value": ""
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          "credentials": {
            "googleSheetsOAuth2Api": {
              "id": "",
              "name": ""
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          "typeVersion": 4.5
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        {
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          "name": "Data Formatting and Processing",
          "type": "n8n-nodes-base.code",
          "notes": "Hey this is where \nyou \nformat results ",
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          "parameters": {
            "jsCode": "// Get the input data\nconst inputData = $input.all()[0].json;\n\n// Extract products array from result\nconst products = inputData.result.products;\n\n// Map each product and return only title, url, category\nreturn products.map(product => ({\n  json: {\n    title: product.title,\n    url: product.url,\n    category: product.category\n  }\n}));"
          },
          "notesInFlow": true,
          "typeVersion": 2
        },
        {
          "id": "36debe48-6a09-4036-af3f-5465aad6386e",
          "name": "Sticky Note1",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            1180,
            460
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          "parameters": {
            "color": 5,
            "width": 574.9363634768473,
            "height": 530.4701664623029,
            "content": "# Step 2: AI-Powered Amazon Product Scraper 🤖\n\nThis is the core node which uses ScrapeGraphAI to intelligently extract product information from Amazon.\n\n## How to Use\n- Configure the Amazon search URL\n- Use natural language to describe what data to extract\n- The AI will automatically parse and structure the results\n\n## Configuration\n- **Website URL**: Amazon search results page for keyboards\n- **User Prompt**: Natural language instructions for data extraction\n- **API Credentials**: ScrapeGraphAI API key required\n\n## Example\n- **Website**: Amazon keyboard search results\n- **Instruction**: \"Extract product titles, URLs, and categories\"\n\n⚠️ **Note**: This is a community node requiring self-hosting"
          },
          "typeVersion": 1
        },
        {
          "id": "127e5d40-1c71-4752-97b4-6a25a00921d1",
          "name": "Sticky Note2",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            1920,
            460
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          "parameters": {
            "color": 5,
            "width": 574.9363634768473,
            "height": 530.4701664623029,
            "content": "# Step 3: Data Formatting and Processing 🧱\n\nThis node transforms and structures the scraped data for optimal Google Sheets compatibility.\n\n## What it does\n- Extracts products array from ScrapeGraphAI response\n- Maps each product to standardized format\n- Ensures data consistency and structure\n- Prepares clean data for spreadsheet storage\n\n## Data Structure\n- **title**: Product name and model\n- **url**: Direct Amazon product link\n- **category**: Product classification\n\n## Customization\n- Modify the JavaScript code to extract additional fields\n- Add data validation and cleaning logic\n- Implement error handling for malformed data"
          },
          "typeVersion": 1
        },
        {
          "id": "43a90a8b-c1b8-4129-8090-cc1e4110cc72",
          "name": "Sticky Note3",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            460,
            460
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          "parameters": {
            "color": 5,
            "width": 574.9363634768473,
            "height": 530.4701664623029,
            "content": "# Step 1: Automated Schedule Trigger ⏱️\n\nThis trigger automatically invokes the workflow at specified intervals to keep data fresh and up-to-date.\n\n## Configuration Options\n- **Frequency**: Daily, weekly, or custom intervals\n- **Time Zone**: Configure for your business hours\n- **Execution Time**: Choose optimal times for data collection\n\n## Best Practices\n- Set appropriate intervals to respect rate limits\n- Consider Amazon's peak hours for better data quality\n- Monitor execution logs for any issues\n- Adjust frequency based on your analysis needs"
          },
          "typeVersion": 1
        },
        {
          "id": "554bbdbe-1292-4947-8427-c29f817479be",
          "name": "Sticky Note",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
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          "parameters": {
            "color": 5,
            "width": 574.9363634768473,
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            "content": "# Step 4: Google Sheets Data Storage 📊\n\nThis node securely stores the processed keyboard product data in your Google Sheets for analysis and tracking.\n\n## What it does\n- Connects to your Google Sheets account via OAuth2\n- Appends new product data as rows\n- Maintains historical data for trend analysis\n- Provides structured data for business intelligence\n\n## Configuration\n- **Spreadsheet**: Select or create target Google Sheets document\n- **Sheet Name**: Configure worksheet (default: Sheet1)\n- **Operation**: Append mode for continuous data collection\n- **Column Mapping**: Automatic mapping of title, url, category fields\n\n## Data Management\n- Each execution adds new product entries\n- Historical data preserved for analysis\n- Easy export and sharing capabilities\n- Built-in Google Sheets analytics and filtering"
          },
          "typeVersion": 1
        }
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        "id": 834,
        "icon": "file:code.svg",
        "name": "n8n-nodes-base.code",
        "codex": {
          "data": {
            "alias": [
              "cpde",
              "Javascript",
              "JS",
              "Python",
              "Script",
              "Custom Code",
              "Function"
            ],
            "details": "The Code node allows you to execute JavaScript in your workflow.",
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code/"
                }
              ]
            },
            "categories": [
              "Development",
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers",
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Code"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Code",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 5,
            "name": "Development"
          },
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 839,
        "icon": "fa:clock",
        "name": "n8n-nodes-base.scheduleTrigger",
        "codex": {
          "data": {
            "alias": [
              "Time",
              "Scheduler",
              "Polling",
              "Cron",
              "Interval"
            ],
            "resources": {
              "generic": [],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.scheduletrigger/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0"
          }
        },
        "group": "[\"trigger\",\"schedule\"]",
        "defaults": {
          "name": "Schedule Trigger",
          "color": "#31C49F"
        },
        "iconData": {
          "icon": "clock",
          "type": "icon"
        },
        "displayName": "Schedule Trigger",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      }
    ],
    "categories": [
      {
        "id": 32,
        "name": "Market Research"
      },
      {
        "id": 49,
        "name": "AI Summarization"
      }
    ],
    "image": []
  }
}